Associate trees with a year to the associated year temperature in the other data set.

[Chris6698]

Macintosh; Intel Mac OS X 12_4_0
I have two data sets. One named 'datesponte' and the other 'kanasuta'. In 'datesponte' I have trees representing a bird nesting site. A column of years ($annee) associated to each tree are in 'character format'.

I want to associate these trees to the correct year temperature ($Historique.modélisé) in the data set 'kanasuta'.

Structure of the df 'datesponte':

structure(list(CodeNidif = c("A08B08_200801", "A08E31_201501",
"A09A03_200901", "A12B01_201301", "A12B01_201401", "B12RJ52_201201"
), NumCav = c(1, 2, 1, 1, 1, 1), NbVisites = c(8, 4, 2, 1, 1,
4), DatePonte = structure(c(1212105600, 1431388800, 1242086400,
1368316800, NA, 1336867200), tzone = "UTC", class = c("POSIXct",
"POSIXt")), CI(jours) = c(1, 1, 2, 2, NA, 1), Succes = c("N",
"P", "NA", "NA", NA, "P"), NbJeunesSucces = c("NA", "2", "NA",
"NA", NA, "3"), annee = c("2008", "2015", "2009", "2013", NA,
"2012")), row.names = c(NA, -6L), class = c("tbl_df", "tbl",
"data.frame"))

Structure of df 'kanasuta':

structure(list(DateTime = c("1950-05-01", "1951-05-01", "1952-05-01",
"1953-05-01", "1954-05-01", "1955-05-01"), Historique.modélisé = c("2,3",
"2,4", "2,5", "2,2", "2,3", "2,1"), Répartition.historique..low. = c("0,4",
"0,4", "0,5", "0,5", "-0,3", "0,2"), Répartition.historique..high. = c("4,3",
"4,8", "4,7", "3,8", "4", "4,7"), RCP.2.6.médiane = c("", "",
"", "", "", ""), RCP.2.6.portée..low. = c("", "", "", "", "",
""), RCP.2.6.portée..high. = c("", "", "", "", "", ""), RCP.4.5.médiane = c("",
"", "", "", "", ""), RCP.4.5.portée..low. = c("", "", "", "",
"", ""), RCP.4.5.portée..high. = c("", "", "", "", "", ""),
RCP.8.5.médiane = c("", "", "", "", "", ""), RCP.8.5.portée..low. = c("",
"", "", "", "", ""), RCP.8.5.portée..high. = c("", "", "",
"", "", ""), year = c("1950", "1951", "1952", "1953", "1954",
"1955")), row.names = c(NA, 6L), class = "data.frame")
I tried running the following code:

essai=numeric(37)

for(i in 1:37) {

essai[i]=kanasuta$Historique.modélisé[kanasuta$year==datesponte$annee[1]]

}

kanasuta$Historique.modélisé[kanasuta$year==datesponte$annee[1]] [1] ""

It doesn't seem to work. I'm a beginner in R, and I could really use someone's help. Thanks!

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[Chris6698]

Ok I used the dput() function. Is it better that way ?

[andresrcs]

Not really, you haven't posted the complete dput() output so we can't use it.

[Chris6698]

Ok, yeah I cut somes parts out that weren't necessary. I added the full output now. Is it ok ?
Thanks for the follow up btw !

[andresrcs]

I think you can get what you want by using dplyr::inner_join() but there are no matching years in your sample data so I can't test it with the data you are providing. The code would be something like this

library(dplyr)

datesponte %>% 
    inner_join(kanasuta, by = c(annee = 'year')) %>% 
    select(Historique.modélisé)

[Chris6698]

Hi, yes that worked ! Thank you so much!
I appreciate it.